In this paper, we propose a tractable semi-analytical approach for the network performance analysis of uplink (UL) cellular networks, which is based on a deterministic network analysis using a Gaussian approximation (DNA-GA). The key contribution of this paper is to investigate the UL signal-to-interference ratio (SIR) performance using the DNA-GA analysis. In particular, the SIR is modeled as a ratio of two random variables (RVs), representing the signal power and the aggregate interference power, respectively. The signal power is further characterized by a product of two RVs, i.e., a lognormal RV and an RV with an arbitrary distribution. The former RV comes from a common assumption of lognormal shadow fading, and the latter one takes the rest of random factors into account, such as random user positions, arbitrary types of multi-path fading, and so on. The aggregate interference power is approximated by an RV with a power lognormal distribution. The proposed DNA-GA analysis has several desirable features: 1) it naturally considers lognormal shadow fading; 2) it can treat arbitrary shape and/or size of cell coverage areas; 3) it can handle non-uniform user distributions; 4) it can cope with any type of multi-path fading; and 5) it can be applied to multi-antenna base stations. These features make the DNA-GA analysis very useful for the network performance analysis of the 5th generation systems with general cell deployment and user distribution.
- Aggregates,
- Codes (symbols),
- DNA,
- Fading channels,
- Microscopic examination,
- Mobile telecommunication systems,
- Network performance,
- Wave interference,
- Wireless networks,
- 3GPP,
- approximation,
- Gaussians,
- Log-normal,
- Macro cells,
- Signal-to-interference ratio (SIR),
- Small cell Networks(SCNs),
- Uplink,
- Multipath fading,
- Lognormal,
- Performance analysis,
- Power lognormal
Available at: http://works.bepress.com/sajal-das/40/